Q9P9T3 AF NFT

Uncharacterized protein XF_1567/XF_1672

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiezai3rnj47wspnitngonymneov46hkli4nztppz7ezc7fm64v334/metadata.json
IPFS of structure file: 
bafybeic5arjlqu2qprts4j4obnpqqhltptucvpdm5azo2eloxxva53ne5y/AF-Q9P9T3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5BeA89782341f98147F2D811B063F91F0aE7D7bF
First NFT owner address (bech32): 
genesis1t04gj7prg8ucz3ljmqgmqcleru9w04al6k7v50
Current NFT ID #507898 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
507898
Accession (UniProt):
Q9P9T3
Name::
Uncharacterized protein XF_1567/XF_1672
Experimental Method:
Predicted structure
Sequence source:
XYLELLA FASTIDIOSA (STRAIN 9A5C)

NFT data

MolNFT AF v1 is an AlphaFold database of AI predicted Swiss-Prot protein sequences preserved as regular ERC-721 NFT tokens on GenesisL1 blockchain for public free use, research and entertainment:

https://alphafold.ebi.ac.uk/
Jumper, J., Evans, R., Pritzel, A. et al. Highly accurate protein structure prediction with AlphaFold. 
Nature 596, 583–589 (2021). https://doi.org/10.1038/s41586-021-03819-2

MOLNFT Q9P9T3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9P9T3|Y1567_XYLFA Uncharacterized protein XF_1567/XF_1672 OS=Xylella fastidiosa (strain 9a5c) OX=160492 GN=XF_1567 PE=4 SV=1 MRQTRVEVILPPQGVLQPCEAPELGRVDTVRDLLNQTLGWRFAYEQCAAQVRCVAAWAQAASVGQPWSADGCGEEAE